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Proceedings Paper

Recovery of superquadric primitives from a range image using GA
Author(s): Hideki Tanahashi; Noriyasu Murakami; Kazuhiko Yamamoto
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Paper Abstract

This paper describes a method for recovering volumetric shape descriptions of 3D objects from range image. The models of shape primitives are superquadrics. The model parameters defined the shape are obtained by using genetic algorithm. The fitting energy evaluated the difference in both depth form the object center and the distribute of the normal vector between input range image and the model surfaces. When the next generation is made the model parameters are independent each other, so the crossover is applied each parameter independently. In order to overcome the local minima problem, we employ a mutation strategy and a elitist preserving strategy. After the model parameters are obtained, the remained parameters are set. We applied the proposed method to recover nondeformed superellipsoids from synthetic range image.

Paper Details

Date Published: 9 January 1997
PDF: 6 pages
Proc. SPIE 2910, Rapid Product Development Technologies, (9 January 1997); doi: 10.1117/12.263356
Show Author Affiliations
Hideki Tanahashi, Gifu Prefectural Government (Japan)
Noriyasu Murakami, Gifu Univ. (Japan)
Kazuhiko Yamamoto, Gifu Univ. (Japan)


Published in SPIE Proceedings Vol. 2910:
Rapid Product Development Technologies
Pierre Boulanger, Editor(s)

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